.

Wednesday, May 6, 2020

Types Of Speech Databases - 1068 Words

IV. Speech Databases Once the features used for emotion detection are selected, the feature vector for a number of training data samples should be obtained. Consequently, the next important phase of building the SER system is to select the database. Prior to selecting the database, it is vital to understand the different kinds of databases available with speech percepts [4]. Datasets for speech signals that can be used for emotion detection should be tagged with a text label that denotes the category of emotion expressed in the speech. Based on the environment used for data collection, the databases can belong to one of the following categories. 1. A simulated dataset in one in which actors who are trained artists record speech percepts in†¦show more content†¦The volunteers belonged to different genders and cultures and spoke different languages. The emotions recorded in this dataset belong to six categories, namely: Anger, disgust, fear, joy, sadness and surprise. V. Speech Emotion Detection Algorithms The main function of the emotion detection system is to use all the collected data and its features to identify the emotion expressed in it. To perform this a classifier algorithm can be used to create a classification model. There are several options of classification algorithms that can be used for this purpose. Some of the top choices of algorithm based on research and existing systems include Bayes classifier, Support Vector Machines (SVM), Gaussian Mixture Model (GMM), K-nearest neighbors (KNN), Hidden Markov Models (HMM) and Artificial Neural Networks (ANN). Bayes classifier [11] is one of the oldest classification algorithm that works based on the Bayes Theorem. Bayes theorem works based on prior probability values and assumes independence between the features used for analysis. The bayes classification model works efficiently on very large datasets. It is simple and easy to build. Bayes classifier used in emotion detection for speech gives an average accuracy of 67%. The nearest neighbor algorithm is a lazy learning algorithm that analyses many training data samples and relates every test data sample to the closest matching train data sample to produce an output [12]. In this algorithm aShow MoreRelatedThe Evolution Of Database Management System1099 Words   |  5 PagesThe Evolution of DBMS A database management system, also known as DBMS, is a type of software that is used in order to create and manage a multitude of databases. Data is the power that runs most modern businesses. This specific program provides a technique for people to use a â€Å"systematic† way to create, retrieve, update, and manage many diverse types of data. DBMS is used to manage three important things, which is data, database engine, and database schema. These different elements help to provideRead MoreInformative Speech On Symptoms, Diagnosis, And Treatment Of Generalized Anxiety Disorder1420 Words   |  6 Pages Planning for the Informative Speech with Analysis Speech Topic: To inform my audience of the symptoms, diagnosis, and treatment of Generalized anxiety disorder Rhetorical Purpose: To inform my audience about . . . Their own mental profile and how to recognize the symptoms so they can help themselves and others around them Audience Analysis: (Refer to chapter on Audience Analysis) (RU Core Goal: a) Summarize Audience demographics, prior exposure/knowledge, common ground/interest, disposition/attitudeRead MoreClassifiers For Emotional Speech Recognition1670 Words   |  7 PagesComparative Study on Support Vector Machines Classifiers for Emotional Speech Recognition Jimmy Dani Abstract—Recently, increasing attention has been directed to the study of the emotional content of speech signals, and hence, many systems have been pro- posed to identify the emotional content of a spoken utterance. There are various important aspects of emotion recognition using speech. The first one is the choice of suitable features for speech representation. The second issue is the design of an appropriateRead MoreSwot Analysis : Biometrics Biometric Fingerprint And Voice Recognition, Authentication, And Authentication1639 Words   |  7 Pagesphysical characteristics, such as fingerprints, to earn entry for personal identification. Since After the invention of the exclusive technology it has been being used in safety systems and authentication. Presently, security fields have three different types of authentication, they are: Something we know: a password, PIN, or piece of personal information something we have: a card key, smart card, or token and something we are: a B iometric based computer networks and its access in the internet are the techniquesRead MoreThe Challenges For Students Today1158 Words   |  5 Pagesis locating and navigating different databases and making sure that research sources are credible and scholarly. We are lucky, in that CSU Global Library has given its students access to several different databases, therefore, making it easier to navigate vast amounts of information. I found two different databases that will be helpful with my two areas of interest, healthcare management and clinical research. The first database is EBSCO. It is a database with a broad range of topics. It includesRead MoreThe Challenges For Students Today1161 Words   |  5 Pagessuccess is locating and navigating different databases and making sure that research sources are credible and scholarly. We are lucky, in that CSU Global Library has given its students access to several different databases, making it easier to navigate vast amounts of information. I found two different databases that I feel will be helpful with my two areas of interest, healthcare management and clinical research. The first database is EBSCO. It is a database with a broad range of topics. It includesRead MoreLanguage Paper1544 Words   |  7 PagesMichelle Langmesser Psy-360 June 6, 2010 Eboni Sheilds Definition of Language â€Å"Many definitions of language have been suggested. An English Phonetician and language scholar, Henry Sweet stated, Language is the expression of ideas by means of speech-sounds combined into words. Words are combined into sentences, this combination answering to that of ideas into thoughts† (language, 2010). The American linguists George L. Trager and Bernard Bloch have the following definition, a language is a systemRead MoreAcc 556 Week One Memo1179 Words   |  5 Pagesoccupational fraud and abuse on the company, 2.) U.S. governmental oversight of accounting fraud and abuse and its effect on the organization and, 3.) Potential corruption schemes to be aware of. This information will be followed by a recommendation of the types of accounting evidence and methods of gathering such information to support a financial review. The Impact of Occupational Fraud and Abuse on the Company Occupational fraud occurs when an employee uses their job to obtain individual gain or enrichmentRead MoreCampaign Finance Regulations1453 Words   |  6 PagesCampaign finance regulations have the potential to stifle free speech and impede the election process created for fair and efficient elections. These laws, which limit political spending, serves to limit speech by restricting the average citizen’s ability to both receive and deliver political messages. Laws that restrict spending on political campaigns not only dampen freedoms of speech but but have a counter affect on our democratic society. Regardless of which political side of the fence youRead MoreSpeech On Steroids And Major League Baseball1638 Words   |  7 PagesKyle Hamilton SPK 208-20 10/30/16 Persuasive Speech Outline I. Introduction A. Attention Getter: On August 7th, 2007, Barry Bonds hit home run number 756, passing Hank Aaron for the most home runs in Major League history. However, this record is controversial, due to steroid use. B. Thesis: Today I am going to persuade you all about the use of steroids in Major League Baseball, persuading you why steroids should not be allowed in Major League Baseball. I have a call to action for all of you to help

No comments:

Post a Comment